Fig 1.
A distributed architecture implementation of spatial-temporal k-anonymity.
Table 1.
A sample of SingleRules.
Fig 2.
Workflow for generating anonymity datasets based on the NOSTK method.
(A)The main flow chart. (B)The sub-flow chart for checking the current grid cell and selecting a generalization principle. (C)The sub-flow chart for sorting searched neighbor grid cells based on selected generalization principles.
Fig 3.
A scenario that the current grid cell is an nPSSR grid cell.
Fig 4.
Searching grid cells near C5 in a counterclockwise direction.
Fig 5.
The generated cloaking region based on the avoidance principle and the minimum generalization principle.
Table 2.
The grid cells sorted in a descending order.
Fig 6.
A scenario that the current grid cell is a PSSR grid cells but not a PSR grid cell.
Fig 7.
The generated cloaking region based on the avoidance principle and the normal generalization principle.
Table 3.
The grid cells filtered out PSSR grid cells and PSR grid cells.
Fig 8.
A scenario that the current grid cell is a PSR grid cell.
Fig 9.
The generated cloaking region based on the avoidance principle and the maximum generalization principle.
Table 4.
The grid cells sorted in an ascending order.
Table 5.
Batches of sequences of cloaking regions with K = 10~18.
Table 6.
Sequence rules mined from Table 5 and specified privacy-sensitive rules.
Fig 10.
Hiding sensitive rules ratios change with data expansion using the NOSTK method.
Fig 11.
Hiding sensitive rules ratios change with data expansion using the tSTK method.
Fig 12.
Newly generated sensitive rules ratios change with data expansion using the NOSTK method.
Fig 13.
Newly generated sensitive rules ratios change with data expansion using the tSTK method.
Fig 14.
Non-sensitive rules variation ratios change with data expansion using the NOSTK method.
Fig 15.
Non-sensitive rules variation ratios change with data expansion using the tSTK method.
Fig 16.
Non-sensitive rules variation ratios difference between the NOSTK method and the tSTK method.
Fig 17.
Hiding sensitive rules ratios change with K values for different incremental combinations.
Fig 18.
Newly generated sensitive rules ratios change with K values for different incremental combinations.
Fig 19.
Non-sensitive rules variation ratios change with K values for different incremental combinations.
Fig 20.
Mixed measure values change with K values for different incremental combinations.